CVE-2026-50144

HIGHPre-NVD 7.17.1
EchelonGraph scoreLOW confidence

This high-severity CVE scores 7.1 under the CNA's CVSS (NVD's own analysis pending). EPSS exploit-prediction score not yet available (the EPSS model rescores nightly; freshly-published CVEs typically appear within 48 hours). GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).

Triggered by: NVD CVSS baseline
Sources: cna:github_m
7.1
EchelonGraph verdictPlan a fixSerious severity, but no confirmed exploitation yet.
  • High severity, but no confirmed exploitation yet
CISA-KEV: Not listedEPSS: CVSS: 7.1Exploit: NoneExposed: 0

No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.

ncnn is a high-performance neural network inference framework optimized for the mobile platform. In commit e54f7b1f88434e1d844ea0551b880a1cfb079ce1 and earlier, ncnn allows an out-of-bounds heap write in ncnn::ParamDict::load_param() when Net::load_param() loads a malicious .param model file because the parsed parameter id is checked only against id >= NCNN_MAX_PARAM_COUNT, allowing a negative id to index before the params[NCNN_MAX_PARAM_COUNT] array. This vulnerability is fixed by commit 5a0288f255daa6c3294f77109f67718e434ec020.

CVSS v3
7.1
EG Score
7.1(low)
EPSS
KEV
Not listed

Published

July 15, 2026

Last Modified

July 15, 2026

Advisory Details (2)

Auto-updated Jul 15, 2026
🔬 Proof of concept available. Patch available. Sources: github, github_commit.
github Patch Available🟡 PoC Available

Out-of-bounds heap write in ParamDict::load_param via unchecked negative parameter id · Advisory · Tencent/ncnn · GitHub

https://github.com/Tencent/ncnn/security/advisories/GHSA-jxmc-3mv6-7pwr
github_commit

commit 5a0288f255da (Tencent/ncnn)

Fix landed in Tencent/ncnn commit 5a0288f255da — awaiting tagged release

https://github.com/Tencent/ncnn/commit/5a0288f255daa6c3294f77109f67718e434ec020

Weakness Classification(3)

MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.

Data Freshness Timeline

(refreshed 2× in last 7d / 2× in last 30d)

Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.

  1. 2026-07-15 20:10 UTCEG score recompute
  2. 2026-07-15 20:09 UTCMITRE cvelistV5first tracked

Frequently asked(4)

What is CVE-2026-50144?
CVE-2026-50144 is a high vulnerability published on July 15, 2026. ncnn is a high-performance neural network inference framework optimized for the mobile platform. In commit e54f7b1f88434e1d844ea0551b880a1cfb079ce1 and earlier, ncnn allows an out-of-bounds heap write in ncnn::ParamDict::loadparam() when Net::loadparam() loads a malicious .param model file because…
When was CVE-2026-50144 disclosed?
CVE-2026-50144 was first published in the National Vulnerability Database on July 15, 2026. EchelonGraph re-ingests CVE updates from NVD on a 2-hour cycle, so this page reflects the latest published state.
What is the CVSS score of CVE-2026-50144?
CVE-2026-50144 has a CVSS v3 base score of 7.1 (NVD). The EG score is currently aggregating — additional source signals are being incorporated as they become available..
How do I remediate CVE-2026-50144?
Patch to the fixed version published by the affected vendor. Where vendor advisories exist for CVE-2026-50144, EchelonGraph cross-links them in the Vendor Advisories panel below — those typically contain the canonical remediation steps, fixed version numbers, and any vendor-specific mitigations.

Dependency Blast Radius

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